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An Optimization-Based Study on the Redeployment of a Secondary School Network

Author

Listed:
  • João Teixeira

    (Catholic University of Portugal, Figueira da Foz, Portugal)

  • António Antunes

    (Civil Engineering Department, University of Coimbra—Polo 2, 3030-290 Coimbra, Portugal)

  • Dominique Peeters

    (Geography Institute and CORE, Catholic University of Louvain, Louvain-la-Neuve, Belgium)

Abstract

In this paper we report the results of a study on secondary school planning made within the framework of Coimbra's Educational Charter. Coimbra is a medium-sized municipality of 320 km 2 and 150000 inhabitants located in the center-littoral region of Portugal. The planning problem addressed in the study consisted of defining the location, type, and size of the schools that should integrate Coimbra's secondary school network in 2015, given, first, the excess of aggregate school capacity that currently characterizes the municipality, and, second, the change in school typology that needs to be implemented as a consequence of a recent reorganization of the Portuguese educational system. This problem was analyzed with a discrete facility-location model and considers decisions both of closing existing schools and of opening new schools. The model is a variant of the well-known p -median model, which aims at maximizing the accessibility of students to schools, with constraints on maximum and minimum capacity occupation that make model solutions lose the single assignment and closest assignment properties. As these are desirable properties in a public-facility planning context, they are enforced with explicit constraints. The results obtained through the model are discussed from the standpoint of the trade-off between school accessibility improvements and school network changes.

Suggested Citation

  • João Teixeira & António Antunes & Dominique Peeters, 2007. "An Optimization-Based Study on the Redeployment of a Secondary School Network," Environment and Planning B, , vol. 34(2), pages 296-315, April.
    • Handle: RePEc:sae:envirb:v:34:y:2007:i:2:p:296-315
    DOI: 10.1068/b31173
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    References listed on IDEAS

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    1. Antunes, Antonio & Peeters, Dominique, 2001. "On solving complex multi-period location models using simulated annealing," European Journal of Operational Research, Elsevier, vol. 130(1), pages 190-201, April.
    2. Greenleaf, Nora E. & Harrison, Terry P., 1987. "A mathematical programming approach to elementary school facility decisions," Socio-Economic Planning Sciences, Elsevier, vol. 21(6), pages 395-401.
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    Cited by:

    1. Pludow, B. Amelia & Murray, Alan T. & Church, Richard L., 2022. "Service quality modeling to support optimizing facility location in a microscale environment," Socio-Economic Planning Sciences, Elsevier, vol. 82(PB).
    2. Mestre, Ana Maria & Oliveira, Mónica Duarte & Barbosa-Póvoa, Ana Paula, 2015. "Location–allocation approaches for hospital network planning under uncertainty," European Journal of Operational Research, Elsevier, vol. 240(3), pages 791-806.
    3. Jorge Amaya & Dominique Peeters & Paula Uribe & Juan P. Valenzuela, 2016. "Optimization Modeling for Resource Allocation in the Chilean Public Education System," International Regional Science Review, , vol. 39(2), pages 155-176, April.
    4. Alan Murray, 2010. "Advances in location modeling: GIS linkages and contributions," Journal of Geographical Systems, Springer, vol. 12(3), pages 335-354, September.
    5. Wei, Ran & Feng, Xin & Rey, Sergio & Knaap, Elijah, 2022. "Reducing racial segregation of public school districts," Socio-Economic Planning Sciences, Elsevier, vol. 84(C).
    6. Eric Delmelle & Jean-Claude Thill & Dominique Peeters & Isabelle Thomas, 2014. "A multi-period capacitated school location problem with modular equipment and closest assignment considerations," Journal of Geographical Systems, Springer, vol. 16(3), pages 263-286, July.
    7. Teixeira, João C. & Bigotte, João F. & Repolho, Hugo M. & Antunes, António P., 2019. "Location of courts of justice: The making of the new judiciary map of Portugal," European Journal of Operational Research, Elsevier, vol. 272(2), pages 608-620.
    8. Liao, Cong & Scheuer, Bronte & Dai, Teqi & Tian, Yuan, 2020. "Optimizing the spatial assignment of schools to reduce both inequality of educational opportunity and potential opposition rate through introducing random mechanism into proximity-based system," Socio-Economic Planning Sciences, Elsevier, vol. 72(C).

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